Extensive geochemical studies in the geothermal field of Cerro Prieto, Mexico

Manon, A.; Mazor, Emanuel; Jiménez, Manuel Machorro; Sánchez, Ángel Silos; Fausto, J.; Zenizo, C.

doi:10.2172/5057448

Cited by 17 publications

(4 citation statements)

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“…Some authors consider that CP brine may have been formed from marine evaporite dissolved and partly by evaporated Colorado River water [16,19,21,[28][29][30][31]. However, according to geological evidences, a large accumulation of sedimentary material, overlying the depositional basin, from a continental and marine origin and mixing with meteoric water [30][31][32][33], was related to the origin of brine [17].…”

Section: Cp Hydrogeologymentioning

confidence: 99%

Groundwater Chemistry and Overpressure Evidences in Cerro Prieto Geothermal Field

2017

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In order to understand the geological and hydrogeological processes influencing the hydrogeochemical behavior of the Cerro Prieto Geothermal Field (CP) aquifer, Mexico, a characterization of the water samples collected from geothermal wells was carried out. Different hydrochemical diagrams were used to evaluate brine evolution of the aquifer. To determine pressure conditions at depth, a calculation was performed using hydrostatic and lithostatic properties from CP, considering geological characteristics of the study area, and theoretical information about some basin environments. Groundwater shows hydrogeochemical and geological evidences of the diagenetic evolution that indicate overpressure conditions. Some physical, chemical, textural, and mineralogical properties reported in the lithological column from CP are explained understanding the evolutionary process of the sedimentary material that composes the aquifer.

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Section: Cp Hydrogeologymentioning

confidence: 99%

Groundwater Chemistry and Overpressure Evidences in Cerro Prieto Geothermal Field

2017

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“…The lithology is derived from two geological cross‐sections made over the Mexicali valley (see Figures 5 and 6 from Manon et al [1977]). These sections are oriented NW–SE for the former and SW–NE for the second, length 7 km and a depth of 4 km.…”

Section: Application To Cerro Prietomentioning

confidence: 99%

Three‐dimensional inversion of self‐potential data used to constrain the pattern of groundwater flow in geothermal fields

et al. 2008

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[1] We propose an algorithm to invert self-potential signals measured at the ground surface of the Earth to localize hydromechanical disturbances or to the pattern of groundwater flow in geothermal systems. The self-potential signals result from the divergence of the streaming current density. Groundwater flow can be either driven by topography of the water table, free convection, or deformation of the medium. The algorithm includes the electrical resistivity distribution of the medium obtained independently by DC resistance tomography or electromagnetic methods or by coding the assumed geology in terms of distribution of the electrical resistivity accounting for the effect of the temperature and salinity distributions and possibly constraints from borehole measurements. Inversion of the distribution of the source current density from ground surface and borehole self-potential measurements is achieved by solving the inverse problem using Tikhonov regularization solutions that are compatible with the physics of the primary flow problem. By introducing assumptions regarding the smoothness or the compactness of the source and the three-dimensional distribution of the electrical resistivity of the system, the inverse problem can be solved in obtaining the threedimensional distribution of the current source density in the ground. However, an annihilator can be added to the inverted source geometry without affecting the measured self-potential field. Annihilators can be obtained from boundary conditions. Synthetic models and a sandbox experiment are discussed to demonstrate the validity of the algorithm. An application is presented to the geothermal field of Cerro Prieto, Baja California, Mexico, using literature data. Inversion of the self-potential and resistivity data allows observing a plume of hot groundwater rising to the ground surface in the central part of the investigated area and discharging to the ground surface in the southwest part. The temperature anomaly associated with the existence of this plume is independently observed by interpolating borehole temperature measurements. We found a good agreement between the distribution of the temperature and the inverted source current density. The proposed method appears therefore as a noninvasive method for remote detection and three-dimensional mapping of subsurface groundwater flow.Citation: Jardani, A., A. Revil, A. Bolève, and J. P. Dupont (2008), Three-dimensional inversion of self-potential data used to constrain the pattern of groundwater flow in geothermal fields,

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“…The geometry of the hydrogeological system for the numerical simulations is sketched in Fig. 11(b) and is taken from Manon et al (1977) and Wilt & Goldstein (1981). In our nomenclature, Unit U1 corresponds to the granitic and metasedimentary Upper Cretaceous basement while Unit U2 corresponds to a zone characterized by intense hydrothermal alteration (Wilt & Goldstein 1981).…”

Section: A P P L I C At I O N T O C E R Ro P R I E T Omentioning

confidence: 99%

Stochastic joint inversion of temperature and self-potential data

Jardani¹,

Revil

2009

Geophysical Journal International

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International audienceThe flow of the ground water is responsible for both thermal and self-potential anomalies. Temperature is usually recorded in boreholes while self-potential is usually recorded at the ground surface of the Earth. This makes the joint inversion of temperature and self-potential data together an attractive approach to invert permeability. We use an Adaptive Metropolis Algorithm to determine the posterior probability densities of the material properties of different geological formations and faults by inverting jointly self-potential and temperature data. The algorithm is tested using a synthetic case corresponding to a series of sedimentary layers overlying a low-permeability granitic substratum. The flow of the ground water (computed in steady-state condition) is mainly localized in two faults acting as preferential fluid flow pathways. The first fault is discharging warmed ground water near the ground surface while the second fault acts as a recharge zone of cold water (a classical scenario in geothermal systems). The joint inversion algorithm yield accurate estimate of the permeability of the different units only if both temperature and self-potential data are jointly inverted. An application using real data is also performed. It concerns the upwelling of a hydrothermal plume through a set of faults and permeable formations at the Cerro Prieto geothermal field in Baja California. The optimized permeabilities are in close agreement with independent hydrogeological estimates

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Extensive geochemical studies in the geothermal field of Cerro Prieto, Mexico

Cited by 17 publications

References 0 publications

Groundwater Chemistry and Overpressure Evidences in Cerro Prieto Geothermal Field

Groundwater Chemistry and Overpressure Evidences in Cerro Prieto Geothermal Field

Three‐dimensional inversion of self‐potential data used to constrain the pattern of groundwater flow in geothermal fields

Stochastic joint inversion of temperature and self-potential data

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